Pub Date : 2022-03-31DOI: 10.35134/komtekinfo.v9i1.283
Sumijan
Many of us as Muslims do not know how to act when the call to prayer is heard, which turns out to have a very noble virtue. This animation is expected to provide insight for all of us about the virtues of answering the call to prayer. In addition, this animation can also attract and entertain the audience. Technological advances that are growing rapidly today cover all fields. One of them is the field of multimedia such as animation. This study aims to create 3D animation that is used as a learning medium. The application has the theme of etiquette when calling the call to prayer. 3D animation is the process of placing objects and characters in three-dimensional space and manipulating them to create the illusion of motion. Design in application development using Blender software and applications in making animation. The results of the resulting application present an interactive form of teaching for users in providing knowledge about manners when the call to prayer is heard. With this application, it is hoped that it can provide an alternative to provide a form of teaching, especially for children to explain etiquette when calling the call to prayer
{"title":"Pengembangan Ekstraksi dalam Identifikasi Kelainan Gigi pada Citra Dental X-ray imaging (DXRI)","authors":"Sumijan","doi":"10.35134/komtekinfo.v9i1.283","DOIUrl":"https://doi.org/10.35134/komtekinfo.v9i1.283","url":null,"abstract":"Many of us as Muslims do not know how to act when the call to prayer is heard, which turns out to have a very noble virtue. This animation is expected to provide insight for all of us about the virtues of answering the call to prayer. In addition, this animation can also attract and entertain the audience. Technological advances that are growing rapidly today cover all fields. One of them is the field of multimedia such as animation. This study aims to create 3D animation that is used as a learning medium. The application has the theme of etiquette when calling the call to prayer. 3D animation is the process of placing objects and characters in three-dimensional space and manipulating them to create the illusion of motion. Design in application development using Blender software and applications in making animation. The results of the resulting application present an interactive form of teaching for users in providing knowledge about manners when the call to prayer is heard. With this application, it is hoped that it can provide an alternative to provide a form of teaching, especially for children to explain etiquette when calling the call to prayer","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.35134/komtekinfo.v9i1.274
Hadi Syahputra
Menu planning in a restaurant is part of the sales strategy. Each menu has a different level of sales. To determine the effectiveness of sales and raw materials, restaurants need knowledge of what menus need to be maintained and vice versa. An analysis that can determine the sales level menu is the analysis of the k-means algorithm data mining clustering method. The source of research data is from the history of menu sales transactions for 1 year, then analyzed by the k-means algorithm. The information found is in the form of popular F&B menus and sales level menus. The purpose of this study is to group the data menu on the level of sales (Food and Beverage). The method used is the Clustering method with the performance of the K-Means algorithm. The results showed that the clustering method with the K-Means algorithm gave a significant output in grouping sales data. The research contribution provides knowledge in the form of information in conducting sales data management
{"title":"Clustering Tingkat Penjualan Menu (Food and Beverage) Menggunakan Algoritma K-Means","authors":"Hadi Syahputra","doi":"10.35134/komtekinfo.v9i1.274","DOIUrl":"https://doi.org/10.35134/komtekinfo.v9i1.274","url":null,"abstract":"Menu planning in a restaurant is part of the sales strategy. Each menu has a different level of sales. To determine the effectiveness of sales and raw materials, restaurants need knowledge of what menus need to be maintained and vice versa. An analysis that can determine the sales level menu is the analysis of the k-means algorithm data mining clustering method. The source of research data is from the history of menu sales transactions for 1 year, then analyzed by the k-means algorithm. The information found is in the form of popular F&B menus and sales level menus. The purpose of this study is to group the data menu on the level of sales (Food and Beverage). The method used is the Clustering method with the performance of the K-Means algorithm. The results showed that the clustering method with the K-Means algorithm gave a significant output in grouping sales data. The research contribution provides knowledge in the form of information in conducting sales data management","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.35134/komtekinfo.v9i1.197
Rofil M. Nur, Syafri Arlis
Sistem.pakar merupakan.cabang berasal kecerdasan.buatan, yang menyerap pengetahuan manusia. Sistem pakar dapat diimplementasikan pada berbagai perangkat lunak buat memecahkan banyak dilema, mirip bidang medis. salah satu metode yg digunakan pada sistem pakar ialah forward chaining. Metode rantai maju dipergunakan buat mencocokkan tanda-tanda pasien menggunakan tanda-tanda penyakit lanjut. dengan memakai sistem ahli dan metode forward chain, proses diagnosa balita gizi jelek bisa diselesaikan secara efisien, berhemat ketika, serta membantu dokter serta bidan.
{"title":"Sistem Pakar dalam Mengidentifikasi Penyakit Malnutrisi pada Balita Metode Forward Chaining","authors":"Rofil M. Nur, Syafri Arlis","doi":"10.35134/komtekinfo.v9i1.197","DOIUrl":"https://doi.org/10.35134/komtekinfo.v9i1.197","url":null,"abstract":"Sistem.pakar merupakan.cabang berasal kecerdasan.buatan, yang menyerap pengetahuan manusia. Sistem pakar dapat diimplementasikan pada berbagai perangkat lunak buat memecahkan banyak dilema, mirip bidang medis. salah satu metode yg digunakan pada sistem pakar ialah forward chaining. Metode rantai maju dipergunakan buat mencocokkan tanda-tanda pasien menggunakan tanda-tanda penyakit lanjut. dengan memakai sistem ahli dan metode forward chain, proses diagnosa balita gizi jelek bisa diselesaikan secara efisien, berhemat ketika, serta membantu dokter serta bidan.","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114439183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-31DOI: 10.35134/komtekinfo.v9i1.267
Indra Wijaya, Astri Indah Juwita, Wahyu Illahi
Penelitian ini bertujuan untuk mengetahui Validitas, Praktikalitas dan Efektivitas Media E-Learning Dengan Model Blended Learning pada Mata Pelajaran Administrasi Sistem Jaringan Kelas XII TKJ di SMK Negeri 6 Padang Semester Ganjil TA 2021-2022. Penelitian ini menggunakan metode penelitian pengembangan (research & development). Subjek penelitian berjumlah 69 orang. Jenis penelitian yang digunakan adalah Penelitian dan Pengembangan (R & D) dengan model pengembangan ADDIE. Hasil uji validitas oleh para ahli secara keseluruhan penilaian uji validator terhadap Media E-Learning Dengan Model Blended Learning Berbasis Google Classroom sebesar 92,26%, sehingga tingkat validitas dapat di interprestasikan sangat valid digunakan. Hasil penilaian uji praktikalitas secara keseluruhan penilaian praktikalitas terhadap Media E-Learning Dengan Model Blended Learning Berbasis Google Classroom sebesar 92,82%, sehingga tingkat praktikalitasnya dapat di interprestasikan sangat praktis digunakan. Hasil penilaian uji soal test efektivitas secara keseluruhan penilaian efektivitas terhadap Media E-Learning Dengan Model Blended Learning Berbasis Google Classroom sebesar 95,82,% sehingga tingkat efektivitasnya dapat di interprestasikan sangat efektif digunakan. Kesimpulannya, berdasarkan penilaian beserta masukan ahli serta hasil dari uji coba lapangan Media E-Learning Dengan Model Blended Learning sebagai media pembelajaran sudah teruji kelayakan, keunggulan, dan dapat digunakan pada proses pembelajaran pada mata pelajaran Administrasi Sistem Jaringan Kelas XII di SMK Negeri 6 Padang.
{"title":"Pengembangan Media E-Learning dengan Model Blended Learning Berbasis Google Classroom","authors":"Indra Wijaya, Astri Indah Juwita, Wahyu Illahi","doi":"10.35134/komtekinfo.v9i1.267","DOIUrl":"https://doi.org/10.35134/komtekinfo.v9i1.267","url":null,"abstract":"Penelitian ini bertujuan untuk mengetahui Validitas, Praktikalitas dan Efektivitas Media E-Learning Dengan Model Blended Learning pada Mata Pelajaran Administrasi Sistem Jaringan Kelas XII TKJ di SMK Negeri 6 Padang Semester Ganjil TA 2021-2022. Penelitian ini menggunakan metode penelitian pengembangan (research & development). Subjek penelitian berjumlah 69 orang. Jenis penelitian yang digunakan adalah Penelitian dan Pengembangan (R & D) dengan model pengembangan ADDIE. Hasil uji validitas oleh para ahli secara keseluruhan penilaian uji validator terhadap Media E-Learning Dengan Model Blended Learning Berbasis Google Classroom sebesar 92,26%, sehingga tingkat validitas dapat di interprestasikan sangat valid digunakan. Hasil penilaian uji praktikalitas secara keseluruhan penilaian praktikalitas terhadap Media E-Learning Dengan Model Blended Learning Berbasis Google Classroom sebesar 92,82%, sehingga tingkat praktikalitasnya dapat di interprestasikan sangat praktis digunakan. Hasil penilaian uji soal test efektivitas secara keseluruhan penilaian efektivitas terhadap Media E-Learning Dengan Model Blended Learning Berbasis Google Classroom sebesar 95,82,% sehingga tingkat efektivitasnya dapat di interprestasikan sangat efektif digunakan. Kesimpulannya, berdasarkan penilaian beserta masukan ahli serta hasil dari uji coba lapangan Media E-Learning Dengan Model Blended Learning sebagai media pembelajaran sudah teruji kelayakan, keunggulan, dan dapat digunakan pada proses pembelajaran pada mata pelajaran Administrasi Sistem Jaringan Kelas XII di SMK Negeri 6 Padang.","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132959743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-26DOI: 10.35134/komtekinfo.v8i4.191
Dodi Guswandi, H. Syahputra, Agung Ramadhanu, Yogi Wiyandra, Suci Wahyuni
The implementation of online lectures using blended learning needs to be assessed to find out the performance activities of lecturers with students in using the learning activity management system (LAMS) feature and reward lecturers with the best performance. Based on the assessment system of the best lecturers previously have not used the right methods so that the resulting decision is still not right and not accurate. This research aims to implement the Analytical Hierarchy Process (AHP) method in the assessment process of lecturers who are the best in using LAMS. The performance of the AHP method can determine the weight value of criteria consistently and can perform a role to produce solutions in decision making. The criteria indicators used to consist of Interactive Video Teaching Materials (C1), Audio Teaching Materials (C2), URLs (C3), Forum/FBL (C4), Slide Teaching Materials (C5), Assignments (C6), Quiz (C7), Attendance (C8), and Labels (C9). The results of this study showed that the performance of the Decision Support System (DSS) using the AHP method can determine a better weight value with a consistency level of 0.080049762 from 0.1. These results presented with AHP performance can provide weighting value on each criterion and continue the multiplication process with the best lecturer assessment data to get the results of the battle. Overall these results concluded that each criterion had a degree of consistent relationship in the best lecturer assessment on LAMS.
{"title":"Analytical Hierarchy Process in The Assessment of The Best Teacher In the Category of Learning Activity Management System","authors":"Dodi Guswandi, H. Syahputra, Agung Ramadhanu, Yogi Wiyandra, Suci Wahyuni","doi":"10.35134/komtekinfo.v8i4.191","DOIUrl":"https://doi.org/10.35134/komtekinfo.v8i4.191","url":null,"abstract":"The implementation of online lectures using blended learning needs to be assessed to find out the performance activities of lecturers with students in using the learning activity management system (LAMS) feature and reward lecturers with the best performance. Based on the assessment system of the best lecturers previously have not used the right methods so that the resulting decision is still not right and not accurate. This research aims to implement the Analytical Hierarchy Process (AHP) method in the assessment process of lecturers who are the best in using LAMS. The performance of the AHP method can determine the weight value of criteria consistently and can perform a role to produce solutions in decision making. The criteria indicators used to consist of Interactive Video Teaching Materials (C1), Audio Teaching Materials (C2), URLs (C3), Forum/FBL (C4), Slide Teaching Materials (C5), Assignments (C6), Quiz (C7), Attendance (C8), and Labels (C9). The results of this study showed that the performance of the Decision Support System (DSS) using the AHP method can determine a better weight value with a consistency level of 0.080049762 from 0.1. These results presented with AHP performance can provide weighting value on each criterion and continue the multiplication process with the best lecturer assessment data to get the results of the battle. Overall these results concluded that each criterion had a degree of consistent relationship in the best lecturer assessment on LAMS.","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115845916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-23DOI: 10.35134/komtekinfo.v8i4.186
Sari Yulia Retno
Jumlah produksi padi nasional merupakan suatu ketidakpastian. Logika Fuzzy adalah ilmu yang dapat menganalisa ketidakpastian. Logika Fuzzy yang digunakan adalah metode Mamdani, terdapat 4 langkah yakni : pembentukan himpunan Fuzzy, aplikasi fungsi Implikasi, komposisi aturan dan defuzzifikasi. Proses analisis data dibantu juga dengan software Matlab. Teknik analisis data pada statistik yang sering digunakan untuk mengkaji hubungan antara beberapa variabel dan meramal disebut Analisis Regresi Berganda. Analisis Regresi Berganda memakai metode Kuadrat Terkecil atau Ordinary Least Square (OLS). Kedua metode ini dipakai untuk mencari bentuk hubungan antara dua variabel atau lebih yang terdiri dari variabel terikat dan variabel bebas. Tujuan dari penelitian ini adalah membandingkan hasil prediksi jumlah produksi padi yang tepat dan akurat dari kedua metode tersebut. Dengan cara menghitung nilai rata-rata kesalahan relatif dari peramalan menggunakan Logika Fuzzy dan Analisis Regresi Berganda.
{"title":"Perbandingan Analisis Logika Fuzzy dan Regresi Linier Berganda dalam Menentukan Produksi Beras Nasional","authors":"Sari Yulia Retno","doi":"10.35134/komtekinfo.v8i4.186","DOIUrl":"https://doi.org/10.35134/komtekinfo.v8i4.186","url":null,"abstract":"Jumlah produksi padi nasional merupakan suatu ketidakpastian. Logika Fuzzy adalah ilmu yang dapat menganalisa ketidakpastian. Logika Fuzzy yang digunakan adalah metode Mamdani, terdapat 4 langkah yakni : pembentukan himpunan Fuzzy, aplikasi fungsi Implikasi, komposisi aturan dan defuzzifikasi. Proses analisis data dibantu juga dengan software Matlab. Teknik analisis data pada statistik yang sering digunakan untuk mengkaji hubungan antara beberapa variabel dan meramal disebut Analisis Regresi Berganda. Analisis Regresi Berganda memakai metode Kuadrat Terkecil atau Ordinary Least Square (OLS). Kedua metode ini dipakai untuk mencari bentuk hubungan antara dua variabel atau lebih yang terdiri dari variabel terikat dan variabel bebas. Tujuan dari penelitian ini adalah membandingkan hasil prediksi jumlah produksi padi yang tepat dan akurat dari kedua metode tersebut. Dengan cara menghitung nilai rata-rata kesalahan relatif dari peramalan menggunakan Logika Fuzzy dan Analisis Regresi Berganda.","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130979286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.35134/komtekinfo.v8i4.184
Monica Fransisca, Yuliawati Yunus
Technological developments have a considerable influence on education, especially in learning media. Learning media is no longer conventional but is starting adapted with existing technology. The results of the initial observations found that the majority of senior high schools already have facilities for technology-based learning media, but the utilization of technology-based learning media is still very low. This resulted in less utilization of school facilities which already provided. Based on these observations and references from existing researches, it is assumed that e-learning, which is one of the technology-based learning media, can be used as a learning media for blended learning models. This research purpose was to produce an e-learning as learning media and the assessment level of practicality. This research used the Research and Development’s method with four-D development procedures to examine the level of practicality. To assess the level of practicality of e-learning, an assessment through a questionnaire was given to randomly selected subjects. The practicality assessment questionnaire consists of three main indicators such as indicators state of use, effectiveness of learning time and indicators of benefits. Referring to the results of the assessment, the average level of e-learning’s practicality is 80.70% so it can be concluded that e-learning is practical to be used as a learning media.
{"title":"TINGKAT KEPRAKTISAN PENGGUNAAN E-LEARNING PADA MODEL PEMBELAJARAN BLENDED LEARNING DI TINGKAT SMA","authors":"Monica Fransisca, Yuliawati Yunus","doi":"10.35134/komtekinfo.v8i4.184","DOIUrl":"https://doi.org/10.35134/komtekinfo.v8i4.184","url":null,"abstract":"Technological developments have a considerable influence on education, especially in learning media. Learning media is no longer conventional but is starting adapted with existing technology. The results of the initial observations found that the majority of senior high schools already have facilities for technology-based learning media, but the utilization of technology-based learning media is still very low. This resulted in less utilization of school facilities which already provided. Based on these observations and references from existing researches, it is assumed that e-learning, which is one of the technology-based learning media, can be used as a learning media for blended learning models. This research purpose was to produce an e-learning as learning media and the assessment level of practicality. This research used the Research and Development’s method with four-D development procedures to examine the level of practicality. To assess the level of practicality of e-learning, an assessment through a questionnaire was given to randomly selected subjects. The practicality assessment questionnaire consists of three main indicators such as indicators state of use, effectiveness of learning time and indicators of benefits. Referring to the results of the assessment, the average level of e-learning’s practicality is 80.70% so it can be concluded that e-learning is practical to be used as a learning media.","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124145885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-22DOI: 10.35134/komtekinfo.v8i4.188
Emil Naf’an
Penelitian ini bertujuan untuk membuat suatu sistem yang mampu mendeteksi penggunaan masker oleh penghuni rumah saat keluar dari rumah. Peralatan yang dirancang diletakkan di dekat pintu luar bagian dalam rumah. Sistem dikendalikan oleh Smartphone dan Arduino Mega2560. Hal ini merupakan salah satu upaya dalam membantu pemerintah untuk menurunkan angka penyebaran virus Covid-19. Sistem bekerja berdasarkan informasi dari kamera (webcam) yang berfungsi mendeteksi wajah saat keluar rumah. Dalam penelitian ini komponen yang digunakan adalah module Wifi ESP8266, webcam eksternal, LCD (Liquid Crystal Display) 16X2, LED indikator Merah, LED indikator Biru, LED indikator Hijau, Smartphone Android dan buzzer. Pada saat webcam mendeteksi seseorang menggunakan masker LED indikator Hijau menyala, lalu tampil tulisan “Boleh Keluar Rumah” pada LCD dan tampil notifikasi ke aplikasi telegram. Ketika webcam mendeteksi seseorang tidak menggunakan masker LED indikator Merah hidup, lalu tampil tulisan “Tidak Boleh Keluar Rumah” pada LCD, buzzer akan berbunyi dan tampil notifikasi ke aplikasi telegram. Dari hasil pengujian klasifikasi wajah dalam menggunakan masker dan yang tidak menggunakan masker diperoleh akurasi berkisar antara 96 sampai dengan 100 persen. Begitu juga dari pengujian sistem secara keseluruhan diperoleh hasil bahwa pengujian semua kondisi pengguna yang dilakukan (1. Tidak ada orang di depan kamera, 2. Penghuni rumah menggunakan masker, 3. Penghuni rumah tidak menggunakan masker) dapat dideteksi dengan baik serta menghasilkan pesan yang sesuai pada LCD. Ini membuktikan bahwa sistem deteksi penggunaan masker saat keluar rumah dapat bekerja dengan baik. Dengan demikian sistem yang dirancang bisa digunakan dan ditempatkan di setiap rumah, sehingga diharapkan bisa menurunkan angka penyebaran virus Covid-19.
这项研究的目的是建立一种系统，能够检测房主在离开家时使用口罩。设计好的设备安装在房子的里外门附近。这个系统是由智能手机和Arduino Mega2560控制的。这是帮助政府降低Covid-19病毒传播速度的一项努力。该系统使用来自摄像头的信息，该摄像头在外出时检测面部。在本研究中，使用的部件有wi - fi ESP8266模块、外部摄像头、液晶显示器(液体晶体显示)、16X2发光二极管、红色发光二极管、蓝色发光二极管、绿色发光二极管、智能手机Android等组件。当网络摄像头检测到有人戴着绿色发光发光发光的LED面具，然后在液晶显示器上显示“被允许离开家”，并向telegram应用程序显示通知。当网络摄像头检测到有人没有戴上红色发光标签面具，然后在液晶显示器上显示“禁止外出”时，蜂鸣器就会发出哔哔声，向电讯应用程序显示通知。从使用口罩和不使用口罩的深层面部分类测试中，可以获得96到100%的准确性。同样的系统测试作为一个整体获得了测试所有用户状态已经完成的结果(1)。没人在镜头前，2号。房主戴着面具。房主不使用口罩)可以很好地检测到，并在液晶显示器上生成相应的信息。这证明户外面具检测系统可以正常工作。因此，设计的系统可以在任何家庭部署，从而降低Covid-19病毒的传播速度。
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Pub Date : 2021-11-07DOI: 10.35134/komtekinfo.v8i4.183
Hermanto
Hidup manusia sangat dipengaruhi oleh perkembangan lmu pengetahuan dan teknologi inforrmasi dalam penunjang kehidupan, salah satu nya dalam sektor pertanian. Teknologi informasi dalam sektor pertanian yang tepat waktu dan relevan memberikan informasi yang tepat guna kepada rumah tangga usaha pertanian untuk pengambilan keputusan dalam berusaha tani, sehingga efektif dalam meningkatkan produktivitas,dan pendapatan. Di Kabupaten Sijunjung petani yang merapkan sistem integrasi kelapa sawit dengan sapi hanya beberapa petani yang menerapkan hal itu, di karenakan keterbatasan informasi dan menyebabkan pendapatan dari petani yang menerapkan metode ini tidak menentu. Maka dari itu teknologi di harapkan dapat membantu mengatasi permasalahan tersebut. Metode yang di gunakan dalam penelitian ini adalah metode Monte Carlo dengan mengunakan data pendapatan petani kelapa sawit yang mengunakan metode integrasi kelapa sawit dengan sapi yang berada di kabupaten sijunjung tepatnya di kecamatan Kamang Baru, data di peroleh dengan cara wawancara secara langsung kepada petani di mana mempunyai lahan 1,5 hektar kebun kelapa sawit dengan 8 ekor sapi, dan di peroleh lah data pendapatan petani dari tahun 2018, 2019 dan 2020 dimulai dari bulan januari sampai bulan desember. Variabel yang digunakan dalam penelitian ini adalah jumlah pendapatan petani perbulannya. Data jumlah pendapatan petani tersebut akan di olah menggunakan metode Monte Carlo dibantu dengan Microsoft Excel untuk pencarian manualnya. Data jumlah pendapatan petani tahun 2018 digunakan sebagai data uji coba untuk memprediksi jumlah pendapatan petani pada tahun 2019, data tahun 2019 di gunakan untuk memprediksi jumlah pendapatan petani tahun 2020, dan data tahun 2020 untuk memprediksi pendapatan tahun 2021
{"title":"Optimalisasi Pendapatan Integrasi Sawit dengan Sapi Menggunakan Metode Monte Carlo","authors":"Hermanto","doi":"10.35134/komtekinfo.v8i4.183","DOIUrl":"https://doi.org/10.35134/komtekinfo.v8i4.183","url":null,"abstract":"Hidup manusia sangat dipengaruhi oleh perkembangan lmu pengetahuan dan teknologi inforrmasi dalam penunjang kehidupan, salah satu nya dalam sektor pertanian. Teknologi informasi dalam sektor pertanian yang tepat waktu dan relevan memberikan informasi yang tepat guna kepada rumah tangga usaha pertanian untuk pengambilan keputusan dalam berusaha tani, sehingga efektif dalam meningkatkan produktivitas,dan pendapatan. Di Kabupaten Sijunjung petani yang merapkan sistem integrasi kelapa sawit dengan sapi hanya beberapa petani yang menerapkan hal itu, di karenakan keterbatasan informasi dan menyebabkan pendapatan dari petani yang menerapkan metode ini tidak menentu. Maka dari itu teknologi di harapkan dapat membantu mengatasi permasalahan tersebut. Metode yang di gunakan dalam penelitian ini adalah metode Monte Carlo dengan mengunakan data pendapatan petani kelapa sawit yang mengunakan metode integrasi kelapa sawit dengan sapi yang berada di kabupaten sijunjung tepatnya di kecamatan Kamang Baru, data di peroleh dengan cara wawancara secara langsung kepada petani di mana mempunyai lahan 1,5 hektar kebun kelapa sawit dengan 8 ekor sapi, dan di peroleh lah data pendapatan petani dari tahun 2018, 2019 dan 2020 dimulai dari bulan januari sampai bulan desember. Variabel yang digunakan dalam penelitian ini adalah jumlah pendapatan petani perbulannya. Data jumlah pendapatan petani tersebut akan di olah menggunakan metode Monte Carlo dibantu dengan Microsoft Excel untuk pencarian manualnya. Data jumlah pendapatan petani tahun 2018 digunakan sebagai data uji coba untuk memprediksi jumlah pendapatan petani pada tahun 2019, data tahun 2019 di gunakan untuk memprediksi jumlah pendapatan petani tahun 2020, dan data tahun 2020 untuk memprediksi pendapatan tahun 2021","PeriodicalId":403738,"journal":{"name":"Jurnal KomtekInfo","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115708878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-21DOI: 10.35134/komtekinfo.v8i3.174
Silfia Andini, Rani Anggraini, Sofika Enggari
Bram Cell store is a store that sells various types of low-end smartphones at affordable prices. However, the problem faced by the Bram Cell Store is processing data in selecting the best low-end smartphone, because there is no special system for selecting the best low-end smartphone, so it takes a long time to determine. To overcome this problem, this research was conducted with the aim of building a Decision Support System (DSS) by applying the Simple Additive Weighting (SAW) method which is useful for simplifying the smartphone selection process. The design of a decision support system using the SAW method produces applications that perform effective and efficient selection. The impact of this research is helping Bram Cell in selecting the best low-end smartphone and minimizing selection errors used in the previous systemKeywords: Decision Support System, Weight Product, Fabric
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